Add PostgresSubprocessException and refactor database initialization logic

- Introduced PostgresSubprocessException to handle errors during PostgreSQL subprocess execution.
- Refactored PostgresDatabaseProvider to improve schema initialization script discovery.
- Enhanced error handling for psql command execution, including logging of output and errors.
- Implemented methods to find the schema initialization script and the psql executable path.
This commit is contained in:
2026-07-08 11:53:36 -04:00
parent 4f651fc239
commit 1abf61a05f
52 changed files with 723 additions and 9854268 deletions
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-- ============================================================================
-- Slow Query Analysis Script
-- Purpose: Identify and analyze slow-running queries (including 110-second ones)
-- Requirements: pg_stat_statements extension must be enabled
-- ============================================================================
\pset pager off
\timing on
\x auto
\echo '========================================='
\echo 'Jellyfin Slow Query Analysis'
\echo 'Generated: 2026-03-05'
\echo '========================================='
\echo ''
-- ============================================================================
-- 1. CHECK EXTENSION STATUS
-- ============================================================================
\echo '1. CHECKING pg_stat_statements EXTENSION'
\echo '-----------------------------------------'
SELECT
CASE
WHEN COUNT(*) > 0 THEN '✅ pg_stat_statements is installed'
ELSE '❌ pg_stat_statements is NOT installed - Run: CREATE EXTENSION pg_stat_statements;'
END AS status
FROM pg_extension
WHERE extname = 'pg_stat_statements';
\echo ''
-- ============================================================================
-- 2. TOP 20 SLOWEST QUERIES BY MAX EXECUTION TIME
-- ============================================================================
\echo '2. TOP 20 SLOWEST QUERIES (by max execution time)'
\echo '-----------------------------------------'
\echo 'These are the queries that have taken the longest time to execute'
\echo ''
SELECT
LEFT(query, 100) AS query_preview,
calls,
ROUND(mean_exec_time::numeric, 2) AS avg_ms,
ROUND(max_exec_time::numeric, 2) AS max_ms,
ROUND(min_exec_time::numeric, 2) AS min_ms,
ROUND(stddev_exec_time::numeric, 2) AS stddev_ms,
ROUND(total_exec_time::numeric, 2) AS total_ms,
ROUND((100.0 * total_exec_time / SUM(total_exec_time) OVER ())::numeric, 2) AS pct_total,
rows AS rows_returned
FROM pg_stat_statements
WHERE query NOT LIKE '%pg_stat_statements%'
AND query NOT LIKE '%pg_catalog%'
AND dbid = (SELECT oid FROM pg_database WHERE datname = current_database())
ORDER BY max_exec_time DESC
LIMIT 20;
\echo ''
-- ============================================================================
-- 3. TOP 20 SLOWEST QUERIES BY AVERAGE EXECUTION TIME
-- ============================================================================
\echo '3. TOP 20 SLOWEST QUERIES (by average execution time)'
\echo '-----------------------------------------'
\echo 'These queries consistently take a long time'
\echo ''
SELECT
LEFT(query, 100) AS query_preview,
calls,
ROUND(mean_exec_time::numeric, 2) AS avg_ms,
ROUND(max_exec_time::numeric, 2) AS max_ms,
ROUND(total_exec_time::numeric, 2) AS total_ms,
ROUND((100.0 * total_exec_time / SUM(total_exec_time) OVER ())::numeric, 2) AS pct_total,
rows AS rows_returned,
CASE
WHEN calls > 0 THEN ROUND((rows::numeric / calls), 2)
ELSE 0
END AS avg_rows_per_call
FROM pg_stat_statements
WHERE query NOT LIKE '%pg_stat_statements%'
AND query NOT LIKE '%pg_catalog%'
AND dbid = (SELECT oid FROM pg_database WHERE datname = current_database())
AND calls > 1 -- Only queries called multiple times
ORDER BY mean_exec_time DESC
LIMIT 20;
\echo ''
-- ============================================================================
-- 4. QUERIES WITH HIGHEST TOTAL TIME (Performance Impact)
-- ============================================================================
\echo '4. QUERIES WITH HIGHEST TOTAL TIME'
\echo '-----------------------------------------'
\echo 'These queries consume the most total database time'
\echo ''
SELECT
LEFT(query, 100) AS query_preview,
calls,
ROUND(mean_exec_time::numeric, 2) AS avg_ms,
ROUND(max_exec_time::numeric, 2) AS max_ms,
ROUND(total_exec_time::numeric, 2) AS total_ms,
ROUND((100.0 * total_exec_time / SUM(total_exec_time) OVER ())::numeric, 2) AS pct_total,
ROUND((total_exec_time / 1000 / 60)::numeric, 2) AS total_minutes
FROM pg_stat_statements
WHERE query NOT LIKE '%pg_stat_statements%'
AND query NOT LIKE '%pg_catalog%'
AND dbid = (SELECT oid FROM pg_database WHERE datname = current_database())
ORDER BY total_exec_time DESC
LIMIT 20;
\echo ''
-- ============================================================================
-- 5. BASEITEMS QUERIES SPECIFICALLY (Main Problem Area)
-- ============================================================================
\echo '5. BASEITEMS TABLE QUERIES ANALYSIS'
\echo '-----------------------------------------'
\echo 'Focusing on BaseItems table (where 110-second queries occur)'
\echo ''
SELECT
LEFT(query, 150) AS query_preview,
calls,
ROUND(mean_exec_time::numeric, 2) AS avg_ms,
ROUND(max_exec_time::numeric, 2) AS max_ms,
ROUND(min_exec_time::numeric, 2) AS min_ms,
ROUND(total_exec_time::numeric, 2) AS total_ms,
rows AS rows_returned,
CASE
WHEN calls > 0 THEN ROUND((rows::numeric / calls), 2)
ELSE 0
END AS avg_rows_per_call,
CASE
WHEN max_exec_time > 100000 THEN '🔥 CRITICAL (>100s)'
WHEN max_exec_time > 10000 THEN '⚠️ SLOW (>10s)'
WHEN max_exec_time > 1000 THEN '⚡ MODERATE (>1s)'
ELSE '✅ FAST'
END AS performance_rating
FROM pg_stat_statements
WHERE query ILIKE '%BaseItems%'
AND query NOT LIKE '%pg_stat_statements%'
AND query NOT LIKE '%pg_catalog%'
AND dbid = (SELECT oid FROM pg_database WHERE datname = current_database())
ORDER BY max_exec_time DESC;
\echo ''
-- ============================================================================
-- 6. PEOPLES AND ITEMVALUES QUERIES
-- ============================================================================
\echo '6. PEOPLES AND ITEMVALUES QUERIES'
\echo '-----------------------------------------'
\echo 'Queries on high-sequential-scan tables'
\echo ''
SELECT
CASE
WHEN query ILIKE '%Peoples%' THEN 'Peoples'
WHEN query ILIKE '%ItemValues%' THEN 'ItemValues'
ELSE 'Other'
END AS table_name,
LEFT(query, 100) AS query_preview,
calls,
ROUND(mean_exec_time::numeric, 2) AS avg_ms,
ROUND(max_exec_time::numeric, 2) AS max_ms,
ROUND(total_exec_time::numeric, 2) AS total_ms,
rows AS rows_returned
FROM pg_stat_statements
WHERE (query ILIKE '%Peoples%' OR query ILIKE '%ItemValues%')
AND query NOT LIKE '%pg_stat_statements%'
AND query NOT LIKE '%pg_catalog%'
AND dbid = (SELECT oid FROM pg_database WHERE datname = current_database())
ORDER BY max_exec_time DESC
LIMIT 20;
\echo ''
-- ============================================================================
-- 7. QUERIES WITH MANY ROWS BUT FAST (Good Index Usage)
-- ============================================================================
\echo '7. EFFICIENT QUERIES (Many rows, fast execution)'
\echo '-----------------------------------------'
\echo 'These queries return many rows but execute quickly (good indexes!)'
\echo ''
SELECT
LEFT(query, 100) AS query_preview,
calls,
ROUND(mean_exec_time::numeric, 2) AS avg_ms,
rows AS total_rows_returned,
ROUND((rows::numeric / NULLIF(calls, 0))::numeric, 2) AS avg_rows_per_call,
ROUND((mean_exec_time / NULLIF((rows::numeric / NULLIF(calls, 0)), 0))::numeric, 4) AS ms_per_row
FROM pg_stat_statements
WHERE rows > 100000 -- Many rows returned
AND mean_exec_time < 100 -- But fast execution
AND calls > 10 -- Called frequently
AND query NOT LIKE '%pg_stat_statements%'
AND query NOT LIKE '%pg_catalog%'
AND dbid = (SELECT oid FROM pg_database WHERE datname = current_database())
ORDER BY rows DESC
LIMIT 10;
\echo ''
-- ============================================================================
-- 8. CURRENTLY RUNNING QUERIES (Real-time)
-- ============================================================================
\echo '8. CURRENTLY RUNNING QUERIES'
\echo '-----------------------------------------'
SELECT
pid,
usename,
application_name,
NOW() - query_start AS duration,
state,
wait_event_type,
wait_event,
LEFT(query, 100) AS query_preview
FROM pg_stat_activity
WHERE state != 'idle'
AND pid != pg_backend_pid()
AND query NOT LIKE '%pg_stat_activity%'
AND datname = current_database()
ORDER BY query_start ASC;
\echo ''
-- ============================================================================
-- 9. QUERY STATISTICS SUMMARY
-- ============================================================================
\echo '9. OVERALL QUERY STATISTICS SUMMARY'
\echo '-----------------------------------------'
SELECT
COUNT(*) AS total_unique_queries,
SUM(calls) AS total_calls,
ROUND(SUM(total_exec_time)::numeric / 1000 / 60, 2) AS total_exec_minutes,
ROUND(AVG(mean_exec_time)::numeric, 2) AS avg_query_time_ms,
ROUND(MAX(max_exec_time)::numeric, 2) AS slowest_query_ever_ms,
ROUND(MAX(max_exec_time)::numeric / 1000, 2) AS slowest_query_ever_seconds,
SUM(rows) AS total_rows_returned,
ROUND(AVG(rows::numeric / NULLIF(calls, 0))::numeric, 2) AS avg_rows_per_query
FROM pg_stat_statements
WHERE query NOT LIKE '%pg_stat_statements%'
AND query NOT LIKE '%pg_catalog%'
AND dbid = (SELECT oid FROM pg_database WHERE datname = current_database());
\echo ''
-- ============================================================================
-- 10. RECOMMENDATIONS
-- ============================================================================
\echo ''
\echo '========================================='
\echo 'RECOMMENDATIONS'
\echo '========================================='
\echo ''
\echo 'Based on the analysis above:'
\echo ''
\echo '1. CRITICAL QUERIES (>100s):'
\echo ' - Review queries marked 🔥 CRITICAL'
\echo ' - Check EXPLAIN ANALYZE for these queries'
\echo ' - Consider query rewrite or additional indexes'
\echo ''
\echo '2. SLOW QUERIES (>10s):'
\echo ' - Review queries marked ⚠️ SLOW'
\echo ' - Check if indexes are being used'
\echo ' - Run: EXPLAIN (ANALYZE, BUFFERS) <query>'
\echo ''
\echo '3. HIGH TOTAL TIME QUERIES:'
\echo ' - Even fast queries with many calls add up'
\echo ' - Consider caching frequently called queries'
\echo ' - Optimize connection pooling'
\echo ''
\echo '4. TO RESET STATISTICS:'
\echo ' Run: SELECT pg_stat_statements_reset();'
\echo ' (Useful after making optimization changes)'
\echo ''
\echo '5. TO GET FULL QUERY TEXT:'
\echo ' This script shows only first 100-150 characters'
\echo ' Query full text from pg_stat_statements table directly'
\echo ''
\echo '========================================='